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Classification Methods for Mapping Mangrove Extents and Drivers of Change in Thanh Hoa Province, Vietnam during 2005-2018
Corresponding Author(s) : Hai-Hoa Nguyen
Forest and Society,
Vol. 4 No. 1 (2020): APRIL
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- Abdullah, K., Said, A. M., & Omar, D. (2014). Community-based conservation in managing mangrove rehabilitation in Perak and Selangor. Procedia-Social and Behavioral Sciences, 153, 121-131. doi: https://doi.org/10.1016/j.sbspro.2014.10.047
- Aheto, D. W., Kankam, S., Okyere, I., Mensah, E., Osman, A., Jonah, F. E., & Mensah, J. C. (2016). Community-based mangrove forest management: Implications for local livelihoods and coastal resource conservation along the Volta estuary catchment area of Ghana. Ocean and Coastal Management, 127, 43-54. doi: https://doi.org/10.1016/j.ocecoaman.2016.04.006
- Alsaaideh, B., Al-Hanbali, A., Tateishi, R., Kobayashi, T., & Hoan, N. T. (2013). Mangrove forests mapping using Landsat ETM+ with DEM. Journal of Geographic Information System, 5, 369-377. doi: https://doi.org/10.4236/jgis.2013.54035
- Agarwal, N., Bonino, C., Deligny, A., Festa, C., Ghislain, M., Homolova, K., Velasquez, A. K., Kurtev, L., Pinto, A. O., Virat, V., Serban-Penhoat, J., & Thomas, M. (2019). Getting the shrimp’s share mangrove deforestation and shrimp consumption assessment and alternatives. Sciences Po- Paris School of International Affairs (IDDRI), 102pp
- Batadlan, B. D., Paringit, E. C., Santillan, J. R., Caparas, A. S., & Fabila, J. L. (2009). Analysis of background variations in computed spectral vegetation indices and its implications for mapping mangrove forests using satellite imagery. In 4th ERDT Conference, Manila, Philippines.
- Buffle, P., Nguyen, T. Y., & Morten, F. T. (2011). Community-based Mangrove Reforestation and Management in Da Loc, Vietnam. Ecosystems and livelihoods adaptation network (ELAN). 11p
- Chen, B., Xiao, X., Li, X., Pan, X., Doughty, R., Ma, J., Dong, J., Qin, Y., Zhao, B., Wu, Z., Sun, R., Lan, G., Xie, G., Clinton, N., & Giri, C. (2017). A mangrove forest map of China in 2015: Analysis of time series Landsat 7/8 and Sentinel 1A imagery in Google Earth Engine cloud computing platform. ISPRS Journal of Photogrammetry and Remote Sensing. 131, 104- 210. doi: https://doi.org/10.1016/j.isprsjprs.2017.07.011
- Dat, P. T., Yoshino, K., Le, N. N., & Bui, D. T. (2018). Estimating aboveground biomass of a mangrove plantation on the Northern coast of Vietnam using machine learning techniques with an integration of ALOS-2 PALSAR-2 and Sentinel-2A data. International Journal of Remote Sensing, 39(22), 7761-7788. doi: https://doi.org/10.1080/01431161.2018.1471544
- Dat, P. T., Anh, N. K., & Yoshino, K. (2000). Mapping wetland cover types using remote sensing and GIS in Can Gio Mangrove Biosphere Reserve, Vietnam. Lecture note in Earth Science: 66-74
- Datta, D., Chattopadhyyay, R. N., & Guha, P. (2012). Community based mangrove management: a review on status and sustainability. Journal of Environmental Management, 107, 84-95. doi: https://doi.org/10.1016/j.jenvman.2012.04.013
- Duke, N., Nagelkerken, I., Agardy, T., Wells, S., & Van Lavieren, H. (2014). The importance of mangroves to people: a call to action. United Nations Environment Programme World Conservation Monitoring Centre (UNEP-WCMC3). 128pp
- Duke, N., Wilson, N., Mackenzie, J. R., Hai-Hoa, N., & Pullar, D. (2010). Assessing mangrove forests, shoreline condition and feasibility of REDD for Kien Giang province, Vietnam. Technical Report. 137pp. doi: 10.13140/RG.2.1.1032.5367
- Exner, A., Fleissner, P., Kranzl, L., & Zitel, W. (2014). Land and resource scarcity: Capitalism, struggle and well-being in a world without fossil fuels. Routledge Taylor and Francis Group. 320pp
- Field, C., Osborn, J., Hoffman, L., Polsenberg, J., Ackerly, D., Berry, J., Bjorkman, O., Held, A., Matson, P., & Mooney, H. (1998). Mangrove biodiversity and ecosystem function. Global Ecology & Biogeography Letters, 7(1), 3-14. doi: 10.2307/2997693
- Green, E. P., Clark, C. D., Mumby, P. J., Edwards, A. J., & Ellis, A. C. (1998). Remote sensing techniques for mangrove mapping. International Journal of Remote Sensing, 19(5), 935-956. doi: https://doi.org/10.1080/014311698215801
- Gupta, K., Mukhopadhyay, A., Giri, S., Chanda, A., Majumdar, S. D., Samanta, S., & Hazra, S. (2018). An index for discrimination of mangroves from non-mangroves using LANDSAT 8 OLI imagery. MethodsX, 5, 1129-1139. doi:https://doi.org/10.1016/j.mex.2018.09.011
- Ha,T. T., Van, D. P. H., & Visser, L. (2014). Impacts of changes in mangrove forest management practices on forest accessibility and livelihood: A case study in mangrove-shrimp farming system in Ca Mau Province, Mekong Delta, Vietnam. Land Use Policy, 36, 89-101. doi: https://doi.org/10.1016/j.landusepol.2013.07.002
- Hai-Hoa, N. (2016). Using Landsat imagery and vegetation indices differencing to detect mangrove change: A case in Thai Thuy district, Thai Binh province. Journal of Forest Science and Technology, 5, 59-66.
- Hai-Hoa, N. (2014). The relation of coastal mangrove changes and adjacent land-use: A review in Southeast Asia and Kien Giang, Vietnam. Ocean and Coastal Management, 90, 1-10. doi: https://doi.org/10.1016/j.ocecoaman.2013.12.016
- Hawkins, S., To, P. X., Phuong, P. X., Thuy, P. T., Tu, N. D., Cuong, C. V., Brown, S., Dart, P., Robertson, S. M., Vu, N., & McNally, R. (2010). Roots in the Water: Legal Frameworks for Mangrove PES in Vietnam. Katoomba Group's Legal Initiative Country Study Series. Forest Trends: Washington, DC. 55pp
- Hoa, S. L. T., Suzuki, R., & Thomsen, M. F. (2012). Adapting to natural disasters and contributing to climate change mitigation: mangrove community forestry in Viet Nam. Sharing Lessons on Mangrove Restoration. Proceedings and a Call Action from an MFF Regional Colloquium 30- 31 August 2012, Mamallapuram, India, 265-275.
- Hong, P. N., & San, H. T. (1993). Mangroves of Vietnam. IUCN, Vol. 7.
- Islam, M. M., Borgqvist, H., & Kumar, L. (2018). Monitoring mangrove forest land cover changes in the coastline of Bangladesh from 1976 to 2015. Geocarto International, 34(13), 1458-1476. doi: https://doi.org/10.1080/10106049.2018.1489423
- International Federation of Red Cross and Red Crescent Societies. (2011). Breaking the waves: Impact analysis of coastal afforestation for disaster risk reduction in Vietnam. 60pp
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- Kongwongjan, J., Suwanprasit, C., & Thongchumnum, P. (2012). Comparison of vegetation indices for mangrove mapping using THEOS data. Proceedings of the Asia-Pacific Advanced Network, 33, 56-64.
- Kongkeaw, C., Kittitornkool, J., Vadergeest, P., & Kittiwatanawong, K. (2019). Explaining success in community based mangrove management: Four coastal communities along the Andaman Sea, Thailand. Ocean and Coastal Management, 178, doi: https://doi.org/10.1016/j.ocecoaman.2019.104822
- Lee, S. Y., Primavera, J. H., Dahdouh-Guesbas, F., Mckee, K., Bosire, J. O., Cannicci, S., & Mendelssohn, I. (2014). Ecological role and services of tropical mangrove ecosystems: A reassessment. Global Ecology and Biogeography, 23(7), 726-743. doi:https://doi.org/10.1111/geb.12155
- Li, P., Jiang, L., & Feng, Z. (2013). Cross-comparison of vegetation indices derived from Landsat-7 enhanced thematic mapper plus (ETM+) and Landsat-8 operational land imager (OLI) sensors. Remote Sensing, 6(1), 310-329. doi: https://doi.org/10.3390/rs6010310
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- Muhsoni, F. F., Sambah, A., Mahmudi, M., & Wiadnya, D. (2018). Comparison of different vegetation indices for assessing mangrove density using sentinel-2 imagery. Int. J. Geomate, 14, 42-51. doi: https://doi.org/10.21660/2018.45.7177
- Norjamaki, I., & Tokola, T. (2007). Comparison of atmospheric correction methods in mapping timber volume with multi-temporal Landsat images in Kainuu, Finland. Photogrammetric Engineering & Remote Sensing, 73(2), 155-163. doi:https://doi.org/10.14358/PERS.73.2.155
- Peneva-Reed, E. (2014). Understanding land-cover change dynamics of a mangrove ecosystem at the village level in Krabi Province, Thailand, using Landsat data. GIScience & Remote Sensing, 51(4), 403-426. doi: https://doi.org/10.1080/15481603.2014.936669
- Pham, T. T., Bennet, K., Vu, T. P., Brunner, J., Le, N. D., & Nguyen, D. T. (2013). Payments for forest environmental services in Vietnam: from policy to practice. Occasional Paper 93. Borgor, Indonesia, CIFOR. 96pp
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- Ramdani, F., Rahman, S., & Giri, C. (2018). Principal polar spectral indices for mapping mangroves forest in South East Asia: study case Indonesia. International Journal of Digital Earth, 12, 1103-1117. doi: https://doi.org/10.1080/17538947.2018.1454516
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References
Abdullah, K., Said, A. M., & Omar, D. (2014). Community-based conservation in managing mangrove rehabilitation in Perak and Selangor. Procedia-Social and Behavioral Sciences, 153, 121-131. doi: https://doi.org/10.1016/j.sbspro.2014.10.047
Aheto, D. W., Kankam, S., Okyere, I., Mensah, E., Osman, A., Jonah, F. E., & Mensah, J. C. (2016). Community-based mangrove forest management: Implications for local livelihoods and coastal resource conservation along the Volta estuary catchment area of Ghana. Ocean and Coastal Management, 127, 43-54. doi: https://doi.org/10.1016/j.ocecoaman.2016.04.006
Alsaaideh, B., Al-Hanbali, A., Tateishi, R., Kobayashi, T., & Hoan, N. T. (2013). Mangrove forests mapping using Landsat ETM+ with DEM. Journal of Geographic Information System, 5, 369-377. doi: https://doi.org/10.4236/jgis.2013.54035
Agarwal, N., Bonino, C., Deligny, A., Festa, C., Ghislain, M., Homolova, K., Velasquez, A. K., Kurtev, L., Pinto, A. O., Virat, V., Serban-Penhoat, J., & Thomas, M. (2019). Getting the shrimp’s share mangrove deforestation and shrimp consumption assessment and alternatives. Sciences Po- Paris School of International Affairs (IDDRI), 102pp
Batadlan, B. D., Paringit, E. C., Santillan, J. R., Caparas, A. S., & Fabila, J. L. (2009). Analysis of background variations in computed spectral vegetation indices and its implications for mapping mangrove forests using satellite imagery. In 4th ERDT Conference, Manila, Philippines.
Buffle, P., Nguyen, T. Y., & Morten, F. T. (2011). Community-based Mangrove Reforestation and Management in Da Loc, Vietnam. Ecosystems and livelihoods adaptation network (ELAN). 11p
Chen, B., Xiao, X., Li, X., Pan, X., Doughty, R., Ma, J., Dong, J., Qin, Y., Zhao, B., Wu, Z., Sun, R., Lan, G., Xie, G., Clinton, N., & Giri, C. (2017). A mangrove forest map of China in 2015: Analysis of time series Landsat 7/8 and Sentinel 1A imagery in Google Earth Engine cloud computing platform. ISPRS Journal of Photogrammetry and Remote Sensing. 131, 104- 210. doi: https://doi.org/10.1016/j.isprsjprs.2017.07.011
Dat, P. T., Yoshino, K., Le, N. N., & Bui, D. T. (2018). Estimating aboveground biomass of a mangrove plantation on the Northern coast of Vietnam using machine learning techniques with an integration of ALOS-2 PALSAR-2 and Sentinel-2A data. International Journal of Remote Sensing, 39(22), 7761-7788. doi: https://doi.org/10.1080/01431161.2018.1471544
Dat, P. T., Anh, N. K., & Yoshino, K. (2000). Mapping wetland cover types using remote sensing and GIS in Can Gio Mangrove Biosphere Reserve, Vietnam. Lecture note in Earth Science: 66-74
Datta, D., Chattopadhyyay, R. N., & Guha, P. (2012). Community based mangrove management: a review on status and sustainability. Journal of Environmental Management, 107, 84-95. doi: https://doi.org/10.1016/j.jenvman.2012.04.013
Duke, N., Nagelkerken, I., Agardy, T., Wells, S., & Van Lavieren, H. (2014). The importance of mangroves to people: a call to action. United Nations Environment Programme World Conservation Monitoring Centre (UNEP-WCMC3). 128pp
Duke, N., Wilson, N., Mackenzie, J. R., Hai-Hoa, N., & Pullar, D. (2010). Assessing mangrove forests, shoreline condition and feasibility of REDD for Kien Giang province, Vietnam. Technical Report. 137pp. doi: 10.13140/RG.2.1.1032.5367
Exner, A., Fleissner, P., Kranzl, L., & Zitel, W. (2014). Land and resource scarcity: Capitalism, struggle and well-being in a world without fossil fuels. Routledge Taylor and Francis Group. 320pp
Field, C., Osborn, J., Hoffman, L., Polsenberg, J., Ackerly, D., Berry, J., Bjorkman, O., Held, A., Matson, P., & Mooney, H. (1998). Mangrove biodiversity and ecosystem function. Global Ecology & Biogeography Letters, 7(1), 3-14. doi: 10.2307/2997693
Green, E. P., Clark, C. D., Mumby, P. J., Edwards, A. J., & Ellis, A. C. (1998). Remote sensing techniques for mangrove mapping. International Journal of Remote Sensing, 19(5), 935-956. doi: https://doi.org/10.1080/014311698215801
Gupta, K., Mukhopadhyay, A., Giri, S., Chanda, A., Majumdar, S. D., Samanta, S., & Hazra, S. (2018). An index for discrimination of mangroves from non-mangroves using LANDSAT 8 OLI imagery. MethodsX, 5, 1129-1139. doi:https://doi.org/10.1016/j.mex.2018.09.011
Ha,T. T., Van, D. P. H., & Visser, L. (2014). Impacts of changes in mangrove forest management practices on forest accessibility and livelihood: A case study in mangrove-shrimp farming system in Ca Mau Province, Mekong Delta, Vietnam. Land Use Policy, 36, 89-101. doi: https://doi.org/10.1016/j.landusepol.2013.07.002
Hai-Hoa, N. (2016). Using Landsat imagery and vegetation indices differencing to detect mangrove change: A case in Thai Thuy district, Thai Binh province. Journal of Forest Science and Technology, 5, 59-66.
Hai-Hoa, N. (2014). The relation of coastal mangrove changes and adjacent land-use: A review in Southeast Asia and Kien Giang, Vietnam. Ocean and Coastal Management, 90, 1-10. doi: https://doi.org/10.1016/j.ocecoaman.2013.12.016
Hawkins, S., To, P. X., Phuong, P. X., Thuy, P. T., Tu, N. D., Cuong, C. V., Brown, S., Dart, P., Robertson, S. M., Vu, N., & McNally, R. (2010). Roots in the Water: Legal Frameworks for Mangrove PES in Vietnam. Katoomba Group's Legal Initiative Country Study Series. Forest Trends: Washington, DC. 55pp
Hoa, S. L. T., Suzuki, R., & Thomsen, M. F. (2012). Adapting to natural disasters and contributing to climate change mitigation: mangrove community forestry in Viet Nam. Sharing Lessons on Mangrove Restoration. Proceedings and a Call Action from an MFF Regional Colloquium 30- 31 August 2012, Mamallapuram, India, 265-275.
Hong, P. N., & San, H. T. (1993). Mangroves of Vietnam. IUCN, Vol. 7.
Islam, M. M., Borgqvist, H., & Kumar, L. (2018). Monitoring mangrove forest land cover changes in the coastline of Bangladesh from 1976 to 2015. Geocarto International, 34(13), 1458-1476. doi: https://doi.org/10.1080/10106049.2018.1489423
International Federation of Red Cross and Red Crescent Societies. (2011). Breaking the waves: Impact analysis of coastal afforestation for disaster risk reduction in Vietnam. 60pp
Jiang, Z., Raghavan, S. V., Hur, J., Sun, Y., Liong, S., Nguyen, V. Q., & Dang, T. V. P. (2018). Future changes in rice yields over the Mekong River Delta due to climate change- alarming or alerting? Theoretical and Applied Climatology, 137, 545- 555. doi:https://doi.org/10.1007/s00704-018-2617-z
Kongwongjan, J., Suwanprasit, C., & Thongchumnum, P. (2012). Comparison of vegetation indices for mangrove mapping using THEOS data. Proceedings of the Asia-Pacific Advanced Network, 33, 56-64.
Kongkeaw, C., Kittitornkool, J., Vadergeest, P., & Kittiwatanawong, K. (2019). Explaining success in community based mangrove management: Four coastal communities along the Andaman Sea, Thailand. Ocean and Coastal Management, 178, doi: https://doi.org/10.1016/j.ocecoaman.2019.104822
Lee, S. Y., Primavera, J. H., Dahdouh-Guesbas, F., Mckee, K., Bosire, J. O., Cannicci, S., & Mendelssohn, I. (2014). Ecological role and services of tropical mangrove ecosystems: A reassessment. Global Ecology and Biogeography, 23(7), 726-743. doi:https://doi.org/10.1111/geb.12155
Li, P., Jiang, L., & Feng, Z. (2013). Cross-comparison of vegetation indices derived from Landsat-7 enhanced thematic mapper plus (ETM+) and Landsat-8 operational land imager (OLI) sensors. Remote Sensing, 6(1), 310-329. doi: https://doi.org/10.3390/rs6010310
Long, J. B., & Giri, C. (2011). Mapping the Philippines’ mangrove forests using Landsat imagery. Sensors, 11(3), 2972-2981. doi: https://doi.org/10.3390/s110302972
Lu, D., Mausel, P., Brondizio, E., & Morab, E. (2004). Change detection techniques. International Journal of Remote Sensing, 25(12), 2365-2401. doi: https://doi.org/10.1080/0143116031000139863
Muhsoni, F. F., Sambah, A., Mahmudi, M., & Wiadnya, D. (2018). Comparison of different vegetation indices for assessing mangrove density using sentinel-2 imagery. Int. J. Geomate, 14, 42-51. doi: https://doi.org/10.21660/2018.45.7177
Norjamaki, I., & Tokola, T. (2007). Comparison of atmospheric correction methods in mapping timber volume with multi-temporal Landsat images in Kainuu, Finland. Photogrammetric Engineering & Remote Sensing, 73(2), 155-163. doi:https://doi.org/10.14358/PERS.73.2.155
Peneva-Reed, E. (2014). Understanding land-cover change dynamics of a mangrove ecosystem at the village level in Krabi Province, Thailand, using Landsat data. GIScience & Remote Sensing, 51(4), 403-426. doi: https://doi.org/10.1080/15481603.2014.936669
Pham, T. T., Bennet, K., Vu, T. P., Brunner, J., Le, N. D., & Nguyen, D. T. (2013). Payments for forest environmental services in Vietnam: from policy to practice. Occasional Paper 93. Borgor, Indonesia, CIFOR. 96pp
Phuc, T. X., Nghi, T. H., & Zagt, R. (2013). Forest land allocation in Viet Nam: implementation processes and results. Tropenbos International Vietnam: 1-10.
Phuc, T. X., & Nghi, T. H. (2014). Forest land allocation in the context of forestry sector restructuring: opportunities for forestry development and upland livelihood improvement, Vietnam. Tropenbos International Vietnam. 86pp
Primavera, J. H. (2000). Development, and conservation of Philippine mangroves: institutional issues. Ecological Economics, 35(1), 91-106. doi: https://doi.org/10.1016/S0921-8009(00)00170-1
The Prime Minister. (2015). Approving the project on protection and development of coastal forests to cope with climate change in 2015-2020 period. Decision No 120/QĐ-Ttg, dated 22 January 2015. 32pp
Quang, N. V., & Noriko, S. (2008). Forest allocation policy and level of forest dependency of economic household groups: A case study in northern central Vietnam. Small-scale Forestry, 7(1), 49-66. doi:https://doi.org/10.1007/s11842-008-9040-8
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